Pytorch implementation of convolutional neural network visualization techniques

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

Implementation of Guided GradCAM in Keras

Suite of methods that create attribution maps from image classification models.

Repository for Kubach et al. bioRxiv/2019/804682 (2019)

CAM, Grad-CAM, Grad-CAM++ and Guided Backpropagation post-hoc explanation methods